White matter hyperintensity burden predicts cognitive but not motor decline in Parkinson's disease: results from the Ontario Neurodegenerative Diseases Research Initiative

Abreu, Daniela Cristina Carvalho de; Pieruccini‐Faria, Frederico; Sarquis‐Adamson, Yanina; Black, Alanna; Fraser, Julia; Ooteghem, Karen Van; Cornish, Benjamin; Grimes, David A.; Jog, Mandar; Masellis, Mario; Steeves, Thomas; Nanayakkara, Nuwan D.; Ramirez, Joel; Scott, Christopher J.; Holmes, Melissa F.; Ozzoude, Miracle; Berezuk, Courtney; Symons, Sean; Haddad, Seyyed Mohammad Hassan; Arnott, Stephen R.; Binns, Malcolm A.; Strother, Stephen C.; Beaton, Derek; Sunderland, Kelly M; Theyers, Athena; Tan, Brian; Zamyadi, Mojdeh; Levine, Brian; Orange, J. B.; Roberts, Angela; Lou, Wendy; Sujanthan, Sujeevini; Breen, David P.; Marras, Connie; Kwan, Donna; Adamo, Sabrina; Peltsch, Alicia; Troyer, Angela K.; Black, Sandra E.; McLaughlin, Paula; Lang, Anthony E.; McIlroy, William E.; Bartha, Robert; Montero‐Odasso, Manuel

doi:10.1111/ene.15692

Cited by 9 publications

(7 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…According to previous literature, PD patients exhibited widespread impairment of white matter integrity 37,40 and white matter degeneration was associated with faster progressive parkinsonism in PD 41 . In addition, white matter hyperintensity burden was a reliable predictor of cognitive decline in PD patients 42–44 . Therefore, aging may shape the progression of motor and non‐motor symptoms in PD by inducing white matter damages 37 .…”

Section: Discussionmentioning

confidence: 94%

Age and sex differentially shape brain networks in Parkinson's disease

Chen

et al. 2023

CNS Neurosci Ther

View full text Add to dashboard Cite

Aims Age and sex are important individual factors modifying the clinical symptoms of patients with Parkinson's disease (PD). Our goal is to evaluate the effects of age and sex on brain networks and clinical manifestations of PD patients. Methods Parkinson's disease participants (n = 198) receiving functional magnetic resonance imaging from Parkinson's Progression Markers Initiative database were investigated. Participants were classified into lower quartile group (age rank: 0%~25%), interquartile group (age rank: 26%~75%), and upper quartile group (age rank: 76%~100%) according to their age quartiles to examine how age shapes brain network topology. The differences of brain network topological properties between male and female participants were also investigated. Results Parkinson's disease patients in the upper quartile age group exhibited disrupted network topology of white matter networks and impaired integrity of white matter fibers compared to lower quartile age group. In contrast, sex preferentially shaped the small‐world topology of gray matter covariance network. Differential network metrics mediated the effects of age and sex on cognitive function of PD patients. Conclusion Age and sex have diverse effects on brain structural networks and cognitive function of PD patients, highlighting their roles in the clinical management of PD.

show abstract

Section: Discussionmentioning

confidence: 94%

Age and sex differentially shape brain networks in Parkinson's disease

Chen

et al. 2023

CNS Neurosci Ther

View full text Add to dashboard Cite

show abstract

“…For structural network, PD patients display extensive disruptions of white matter integrity [17], which is associated with worse disease severity and cognitive decline [18, 19]. Particularly, the burden of white matter hyperintensity has been demonstrated to be an imaging biomarker of cognitive impairment in PD patients [20]. Therefore, white matter disruptions have been considered as an essential culprit for cognitive decline in PD patients.…”

Section: Introductionmentioning

confidence: 99%

Structural network topology correlates with cognitive impairment in Parkinson’s disease

Chen,

Li,

Zhou

et al. 2023

Preprint

View full text Add to dashboard Cite

In patients with Parkinson's disease (PD), cognitive impairment is common and substantially exacerbates disease severity. The objective of this study is to investigate whether cognitive decline affects disease severity and whether structural network disruption contributes to cognitive impairment in PD patients. PD patients (n = 146) receiving structural and functional magnetic resonance imaging from Parkinson's Progression Markers Initiative (PPMI) database were included. Based on the scores of Symbol Digit Modalities Test (SDMT), patients were classified into lower quartile group (SDMT score rank: 0%~25%), interquartile group (SDMT score rank: 26%~75%), and upper quartile group (SDMT score rank: 76%~100%) according to their SDMT score quartiles to assess how cognitive function shapes disease manifestations and brain network topology. Patients in the lower quartile group exhibited more severe motor symptoms, non-motor symptoms, and striatal dopamine depletion compared to interquartile group and upper quartile group. In addition, they also showed impaired structural network topology both at global and local levels compared to interquartile group and upper quartile group. Furthermore, different nodal network metrics in structural network contributed to cognitive and motor impairment of PD patients. Taken together, PD patients with worse cognitive function exhibited more severe motor and non-motor symptoms and aberrant structural network metrics were associated with both cognitive and motor decline of PD patients.

show abstract

“…According to previous literature, PD patients exhibited extensive impairment of white matter integrity [92, 93], which was associated with faster disease progression in PD [94]. Additionally, the burden of white matter hyperintensity was a powerful predictor of cognitive decline in PD patients [95–97]. In a recent study, we revealed age-associated changes in white matter network metrics were causally associated with cognitive assessments of PD patients [25].…”

Section: Discussionmentioning

confidence: 83%

Structural network topology mediated cognitive impairment in Parkinson’s disease

Chen,

Li,

Zhou

et al. 2023

Preprint

View full text Add to dashboard Cite

Cognitive impairment (CI) is one of the most prominent non-motor symptoms in Parkinson's disease (PD). How brain network abnormalities contribute to CI in PD patients remain largely unclear. The goal of this study is to explore whether aberrations of brain network topology were causally associated with cognitive decline in PD patients. PD patients receiving magnetic resonance imaging from Parkinson's Progression Markers Initiative (PPMI) database were specifically selected. According to the scores of Montreal Cognitive Assessment (MoCA), PD patients were classified into CI+ group (MoCA score ≤ 25) and CI- group (MoCA score > 25) to investigate whether clinical features and brain networks were significantly different between two groups. Mediation analysis was utilized to evaluate whether brain network alterations contributed to CI in PD patients. We revealed CI + group exhibited more severe non-motor symptoms compared to CI- group. In addition, age, excessive daytime sleepiness, and depressive symptoms were found to be significantly associated with CI of PD patients. Moreover, CI+ group exhibited statistically different local topological properties in structural network compared to CI- group. Furthermore, differential local topological metrics in structural network meditated the effects of age, excessive daytime sleepiness, and depression on cognitive decline of PD patients. Taken together, out study suggested that PD patients with CI exhibited notable disturbances of structural network topology, which mediated negative associations between of age, excessive daytime sleepiness, depression and cognitive decline of PD patients.

show abstract

White matter hyperintensity burden predicts cognitive but not motor decline in Parkinson's disease: results from the Ontario Neurodegenerative Diseases Research Initiative

Abstract: White matter hyperintensity burden predicts cognitive but not motor decline inParkinson's disease. Results from the ONDRI.

Cited by 9 publications

References 53 publications

Age and sex differentially shape brain networks in Parkinson's disease

Age and sex differentially shape brain networks in Parkinson's disease

Structural network topology correlates with cognitive impairment in Parkinson’s disease

Structural network topology mediated cognitive impairment in Parkinson’s disease

Contact Info

Product

Resources

About